域适应论文趋势 2023–2026

跨域迁移

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 866 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

域适应论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202336351687174
202467403765209
202581454846220
202678466970263

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部域适应论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 209 篇，第 3 / 5 页

  1. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
  2. ICLR 2024VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition
  3. ICLR 2024VeRA: Vector-based Random Matrix Adaptation
  4. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  5. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
  6. ICML 2024Adversarially Robust Hypothesis Transfer Learning
  7. ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
  8. ICML 2024Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
  9. ICML 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
  10. ICML 2024Category-Aware Active Domain Adaptation
  11. ICML 2024CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
  12. ICML 2024Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
  13. ICML 2024Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
  14. ICML 2024Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
  15. ICML 2024Cross-domain Open-world Discovery
  16. ICML 2024Cross-Domain Policy Adaptation by Capturing Representation Mismatch
  17. ICML 2024Differentially Private Domain Adaptation with Theoretical Guarantees
  18. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
  19. ICML 2024Domain Generalisation via Imprecise Learning
  20. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
  21. ICML 2024DoRA: Weight-Decomposed Low-Rank Adaptation
  22. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
  23. ICML 2024Getting the most out of your tokenizer for pre-training and domain adaptation
  24. ICML 2024Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
  25. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
  26. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
  27. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
  28. ICML 2024Large Scale Dataset Distillation with Domain Shift
  29. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
  30. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large Models
  31. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
  32. ICML 2024Pairwise Alignment Improves Graph Domain Adaptation
  33. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
  34. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
  35. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
  36. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
  37. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
  38. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
  39. ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
  40. ICML 2024Test-Time Model Adaptation with Only Forward Passes
  41. ICML 2024Time Series Diffusion in the Frequency Domain
  42. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
  43. NeurIPS 2024A Bayesian Approach to Data Point Selection
  44. NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
  45. NeurIPS 2024A Cross-Domain Benchmark for Active Learning
  46. NeurIPS 2024Adaptive Domain Learning for Cross-domain Image Denoising
  47. NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
  48. NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
  49. NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
  50. NeurIPS 2024AUC Maximization under Positive Distribution Shift

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接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查域适应在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "domain-adaptation"}

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常见问题

2023–2026 年四大会议一共有多少篇域适应论文？
共 866 篇，按年份分别是 2023 年 174 篇、2024 年 209 篇、2025 年 220 篇、2026 年 263 篇。
NeurIPS 2026 有多少篇域适应论文？
NeurIPS 2026 有 78 篇域适应论文，上一届是 81 篇。
ICLR 2026 有多少篇域适应论文？
ICLR 2026 有 46 篇域适应论文，上一届是 45 篇。
ICML 2026 有多少篇域适应论文？
ICML 2026 有 69 篇域适应论文，上一届是 48 篇。
CVPR 2026 有多少篇域适应论文？
CVPR 2026 有 70 篇域适应论文，上一届是 46 篇。
哪个会议的域适应论文最多？
CVPR，2023–2026 年共 268 篇。

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